ISLT182 Applied StatisticsIstanbul Okan UniversityDegree Programs International Logistics and TransportationGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
International Logistics and Transportation
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: ISLT182
Course Name: Applied Statistics
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 8
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. OYA KENT BIRIK
Course Lecturer(s): Assoc. Prof. AYNUR PALA
Course Assistants:

Course Objective and Content

Course Objectives: The purpose of this course is to equip students with an understanding of statistical analysis and analytical thinking. Discussions will range from key concepts to useful data analysis. Among topics covered are: Data collection, summarizing and presenting techniques, probability theory, discrete and continuous random variables, discrete probability distribution, continuous probability distribution, sampling distributions, inferential statistics, confidence intervals, hypothesis testing and simple correlation.
Course Content: Measures of central tendency (mean, median, mode, range); measures of dispersion (variance, standard deviation); histogram; diagrams, charts and plots, distinguishing between sample and the population; probability; permutation; combination; probability rules; bivariate probability, joint probability; conditional probability; Bayes’ theorem, discrete and continuous variables and probability distributions (binomial, Poisson, exponential distributions); expected value; sampling and sampling distribution (sampling distribution of the sample mean and sample proportion); point estimation; confidence interval; hypothesis testing (z, student’s t, F and Chi-square distributions); linear correlation; population and sample correlation coefficient.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To be able to define and interpret data and variables belonging to a statistical event
2 - Skills
Cognitive - Practical
1) To be able to recognize probability concepts and distributions and apply them to various problems.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) To be able to make statistical inferences about the population by using the sample information.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Sampling, decision making, defining relationships, uncertainty syllbus
2) Summarizing numerical information using concepts explained in the lecture syllbus
3) • Variance Syllbus
4) • Apply probability rules under uncertainty syllbus
5) Apply probability rules under uncertainty syllbus
6) • Identifying discrete random variables and calculating probability distributions syllbus
7) Identifying continuous random variables and calculating probability distributions syllbus
8) Being able to sample syllbus
9) Establishing a confidence interval syllbus
10) Establishing a confidence interval syllbus
11) Being able to test a hypothesis syllbus
12) Being able to test a hypothesis syllbus
13) • Defining bivariate linear relationships syllbus
14) General review covering all topics for the end-of-term exam. syllbus

Sources

Course Notes / Textbooks: Statistics for Business and Economics, Eighth Edition
Authors: Paul Newbold, William L. Carlson, Betty M. Thorne
References: Business Statistics. A Decision - Making Approach, 8th Edition
Authors: David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Discloses basic knowledge of international logistics, including development process, new and determinative concepts, scientific methodology, theory and models of logistics discipline.
2) Uses appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in relevant areas, interpret the results and suggest solutions.
3) Designs a logistics system that will support the business mission and objectives.
4) Identifies uncertainties in the logistics and supply chain processes and takes measures to mitigate risks.
5) Can discover and create entrepreneurial opportunities and experience to successfully build and develop self-employment.
6) Analyzes the complex and rapidly changing conditions, the dynamics of the national / international business world, the relevant international logistics and supply chain environment
7) Can translate and explain the contents of documents written in English related to the field.
8) Communicates in written and spoken English with people of different social backgrounds, has global competence in tracking and interpreting global dynamics in logistics and supply chain fields.
9) Can demonstrate personal, professional, social and work ethic standards, assesses the ethical dimensions of the various applications in relevant fields, and becomes aware of the importance of ethical behavior in the process of collecting value added.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Discloses basic knowledge of international logistics, including development process, new and determinative concepts, scientific methodology, theory and models of logistics discipline.
2) Uses appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in relevant areas, interpret the results and suggest solutions. 4
3) Designs a logistics system that will support the business mission and objectives. 2
4) Identifies uncertainties in the logistics and supply chain processes and takes measures to mitigate risks. 2
5) Can discover and create entrepreneurial opportunities and experience to successfully build and develop self-employment. 1
6) Analyzes the complex and rapidly changing conditions, the dynamics of the national / international business world, the relevant international logistics and supply chain environment 2
7) Can translate and explain the contents of documents written in English related to the field.
8) Communicates in written and spoken English with people of different social backgrounds, has global competence in tracking and interpreting global dynamics in logistics and supply chain fields. 1
9) Can demonstrate personal, professional, social and work ethic standards, assesses the ethical dimensions of the various applications in relevant fields, and becomes aware of the importance of ethical behavior in the process of collecting value added.

Learning Activity and Teaching Methods

Expression
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Workload
Course Hours 16 63
Homework Assignments 15 30
Quizzes 15 30
Midterms 15 45
Final 15 60
Total Workload 228